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WAP traffic: description and comparison to WWW traffic
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Source International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems archive
Proceedings of the 3rd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems table of contents
Boston, Massachusetts, United States
Pages: 11 - 19  
Year of Publication: 2000
ISBN:1-58113-304-9
Authors
Thomas Kunz  Carleton University, Ottawa, Ont., K1S 5B6 Canada
Thomas Barry  Carleton University, Ottawa, Ont., K1S 5B6 Canada
James P. Black  University of Waterloo, Waterloo, Ont., N2L 3G1, Canada
Hugh M. Mahoney  Bell Mobility Cellular Inc., Mississauga, Ont., L4W 5J4, Canada
Sponsors
AirTouch Inc. Hughes : AirTouch Inc. Hughes
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
University of North Texas : University of North Texas
SIGSIM: ACM Special Interest Group on Simulation and Modeling
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 6,   Downloads (12 Months): 38,   Citation Count: 8
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ABSTRACT

The characteristics of the data traffic generated by the use of micro-browser-enabled PCS phones to gain access to the Web is of particular interest to cellular network operators. Questions such as the frequency and length of browser sessions, and the specific characteristic of the traffic generated, need to be answer by researchers. These answers are valuable in network capacity planning as more subscribers use their cellular phones to interact with the Web. In this paper, we analyse network traces generated by a Mobile Browser application. We observe daily and weekly cycles and, some evidence of self-similarity in the network traffic produced by the application. We show that the activity factor for data generated by this application is lower than voice activity factor. This fact is significant for the design of wireless networks because it is possible to multiplex a large number of data sources onto existing channels with the appropriate protocols. We also compare and contrast the Mobile Browser traffic characteristics with results for WWW traffic published in the literature.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
The WAP Forum. http://www.wapforum.com
 
2
Bell Mobility Inc. http://www.bellmobility.com
 
3
Mobile Browser http://www-digitaldata-bellmbility'ca/digitaldatedfeature/ mobilebrowser.asp
 
4
Telecommunications Industry Association (TIA). TIA/EIA/IS-95 "Mobile Station - Base Station compatibility Standard for Dual-Mode Wideband Spread Spectrum Cellular Systems", August 3, 1998. http://www.tiaonline.org.
 
5
Abdulla, G., Nayfeh, A. H., Fox, E. A. "A Realistic Model of Request Arrival Rate to Caching Proxies". http:llwww.cs, vt.edul-chitraldocslabdulla-nayfehfox/paper.pdf
 
6
Duska, Bradley M., Marwook, David, and Feeley, Michael J. "The Measured Access Characteristics of World-Wide- Web Client Proxy Caches". Proc. of the USENIX Symposium on lnternet Technologies and Systems, Dec. 1997.
 
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Jacobson, Van, McCanne, Steven and Leres, Craig "TCPDUMP". Lawrence Berkely National Laboratory, University of California, Berkeley, CA. ftp://ftp.ee.lbl.gov/tcpdump.tar.Z
 
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Cia, Jian and Goodman, David J. "General Packet Radio Service in GSM". IEEE Communications Magazine, October 19997, pp. 122-131.
 
16
Brasche, Gotz and Walke, Bernhard "Concepts, Services, and Protocols of the New GSM Phase 2+ General Packet Radio Service". IEEE Communications Magazine, August 1997, pp. 94-104.

CITED BY  8

Collaborative Colleagues:
Thomas Kunz: colleagues
Thomas Barry: colleagues
James P. Black: colleagues
Hugh M. Mahoney: colleagues